A view from Japan: Helping reps better understand customer needs
Meeting the expectations of healthcare providers (HCPs) […]
The Democratization of Machine Learning in Commercial Life Sciences
Machine learning is easily one of the most heavily disc […]
The Essential Role of In-House Analytics
Across industries, innovators are finding ways to use d […]
Novartis’s Intelligent “Personal Assistant” Facilitates More Meaningful HCP Interactions
Life sciences organizations are continuing to adopt dig […]
Four AI trends making commercial life sciences smarter in 2019
Artificial intelligence (AI) has already proved to be useful when it comes to life sciences R&D, starting to fruitfully aid in plumbing the vast depths of discovery, clinical, and real-world data. However, the benefits of AI are now making themselves known on the business side of the life sciences industry, enabling commercial teams to better understand and address the needs of the healthcare providers and patients they serve. In 2019, the following trends will help to define how AI can become better integrated into the commercial side of life sciences businesses.
From Manual to Automation: MSD Personalizes Individual HCP Interactions
It’s no secret that customer centricity and personaliza […]
Novartis and Aktana Present the New Commercial Engagement Model at
Veeva Commercial and Medical Summit, Europe
The Veeva Commercial and Medical Summit, Europe welcomed over 1,000 attendees this year in Madrid, including speakers from some of the world’s largest life sciences companies. Concentrated on the era of intelligent customer engagement, attendees discussed the future of customer engagement across sessions, networking conversations, and on social media.
Four Essentials for Maximizing Engagement in AI Decision Support
Decision support has become a vital tool in connecting brand strategy with execution, resulting in increased CRM satisfaction and better healthcare professional (HCP) engagement. When you roll out your decision support program, how can you ensure that you’ll get the adoption and long-term user engagement with the technology to achieve these results? Below are four essentials for maximizing engagement in AI decision support.
Aktana Presents the Missing Link to Coordinated Sales and Marketing at Dreamforce 2018
This year’s Dreamforce event brought together over 170,000 people in downtown San Francisco for its 16th year. One of the major themes discussed was how to cut through the noise to create a better customer experience through the use of artificial intelligence (AI) and digital engagement.
Still Waters Run Deep: The Major Analytical Advantages of Data Lakes
Companies today are drowning in data. The average company exceeds 50 percent per year in volume of data growth and has an average of 33 unique data sources — these are overwhelming amounts that make extracting analytical insights an arduous task. For those swamped with data that’s not being put to use, data lakes can provide immense value. Data lakes are storage systems that hold large volumes of raw, highly diverse data from many sources. Aside from providing internal benefits such as architecture flexibility and scalability, they make processing data quicker and more accurate, uncovering analytical insights that companies didn’t even realize before.